End of training

README.md

@@ -16,13 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Salesforce/blip-image-captioning-base](https://huggingface.co/Salesforce/blip-image-captioning-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 1.3598
-- eval_accuracy: 1.0
-- eval_runtime: 8.776
-- eval_samples_per_second: 83.865
-- eval_steps_per_second: 2.621
-- epoch: 0.2240
-- step: 1000
+- eval_loss: 0.0104
+- eval_accuracy: 0.9484
+- eval_runtime: 8.9681
+- eval_samples_per_second: 82.069
+- eval_steps_per_second: 2.565
+- epoch: 4.0762
+- step: 18200
 
 ## Model description
 
@@ -52,7 +52,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.05
 - num_epochs: 5
 - mixed_precision_training: Native AMP
-- label_smoothing_factor: 0.1
 
 ### Framework versions
 

model.safetensors

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training_args.bin

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